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Vitor Campagnolo Guizilini
Vitor Campagnolo Guizilini
Toyota Research Institute
Verified email at tri.global
Title
Cited by
Cited by
Year
3d packing for self-supervised monocular depth estimation
V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
7902020
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Y Wang, VC Guizilini, T Zhang, Y Wang, H Zhao, J Solomon
Conference on Robot Learning, 180-191, 2022
7002022
Is pseudo-lidar needed for monocular 3d object detection?
D Park, R Ambrus, V Guizilini, J Li, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3442021
Semantically-guided representation learning for self-supervised monocular depth
V Guizilini, R Hou, J Li, R Ambrus, A Gaidon
arXiv preprint arXiv:2002.12319, 2020
2652020
MEMS-based IMU drift minimization: Sage Husa adaptive robust Kalman filtering
M Narasimhappa, AD Mahindrakar, VC Guizilini, MH Terra, SL Sabat
IEEE Sensors Journal 20 (1), 250-260, 2019
1712019
Multi-frame self-supervised depth with transformers
V Guizilini, R Ambruș, D Chen, S Zakharov, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
862022
The impact of DoS attacks on the AR. Drone 2.0
G Vasconcelos, G Carrijo, R Miani, J Souza, V Guizilini
2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics …, 2016
862016
Real-time panoptic segmentation from dense detections
R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
832020
Sparse auxiliary networks for unified monocular depth prediction and completion
V Guizilini, R Ambrus, W Burgard, A Gaidon
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2021
802021
Droid: A large-scale in-the-wild robot manipulation dataset
A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ...
arXiv preprint arXiv:2403.12945, 2024
782024
Robust semi-supervised monocular depth estimation with reprojected distances
V Guizilini, J Li, R Ambrus, S Pillai, A Gaidon
Conference on robot learning, 503-512, 2020
682020
Failure detection in row crops from UAV images using morphological operators
HC Oliveira, VC Guizilini, IP Nunes, JR Souza
IEEE Geoscience and Remote Sensing Letters 15 (7), 991-995, 2018
632018
Full surround monodepth from multiple cameras
V Guizilini, I Vasiljevic, R Ambrus, G Shakhnarovich, A Gaidon
IEEE Robotics and Automation Letters 7 (2), 5397-5404, 2022
552022
Towards zero-shot scale-aware monocular depth estimation
V Guizilini, I Vasiljevic, D Chen, R Ambruș, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
492023
Learning optical flow, depth, and scene flow without real-world labels
V Guizilini, KH Lee, R Ambruş, A Gaidon
IEEE Robotics and Automation Letters 7 (2), 3491-3498, 2022
482022
Online self-supervised multi-instance segmentation of dynamic objects
A Bewley, V Guizilini, F Ramos, B Upcroft
2014 IEEE International Conference on Robotics and Automation (ICRA), 1296-1303, 2014
472014
Visual odometry learning for unmanned aerial vehicles
V Guizilini, F Ramos
2011 IEEE International Conference on Robotics and Automation, 6213-6220, 2011
462011
Marionette: Self-supervised sprite learning
D Smirnov, M Gharbi, M Fisher, V Guizilini, A Efros, JM Solomon
Advances in Neural Information Processing Systems 34, 5494-5505, 2021
442021
Geometric unsupervised domain adaptation for semantic segmentation
V Guizilini, J Li, R Ambruș, A Gaidon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
422021
Neural outlier rejection for self-supervised keypoint learning
J Tang, H Kim, V Guizilini, S Pillai, R Ambrus
arXiv preprint arXiv:1912.10615, 2019
372019
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Articles 1–20